User | Kos72 |
Upload Date | February 10 2025 05:57 PM |
Views | 2 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | Intel(R) Core(TM) i9-14900KF |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
Power Plan | Prestazioni elevate |
CPU Information | |
---|---|
Name | Intel Core i9-14900KF |
Topology | 1 Processor, 24 Cores, 32 Threads |
Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
Base Frequency | 3.20 GHz |
Cluster 1 | 8 Cores |
Cluster 2 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
4480
833.2 IPS |
|
Image Classification (HP)
|
100% |
4493
835.5 IPS |
|
Image Classification (Q)
|
100% |
3123
580.8 IPS |
|
Image Segmentation (SP)
|
100% |
5974
96.8 IPS |
|
Image Segmentation (HP)
|
100% |
6014
97.5 IPS |
|
Image Segmentation (Q)
|
99% |
4325
70.1 IPS |
|
Pose Estimation (SP)
|
100% |
10500
12.3 IPS |
|
Pose Estimation (HP)
|
100% |
10470
12.2 IPS |
|
Pose Estimation (Q)
|
96% |
12900
15.1 IPS |
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
Object Detection (HP)
|
100% |
4218
334.5 IPS |
|
Object Detection (Q)
|
88% |
3458
277.2 IPS |
|
Face Detection (SP)
|
100% |
13835
164.4 IPS |
|
Face Detection (HP)
|
100% |
13828
164.3 IPS |
|
Face Detection (Q)
|
100% |
7962
94.6 IPS |
|
Depth Estimation (SP)
|
100% |
12421
95.7 IPS |
|
Depth Estimation (HP)
|
99% |
12402
95.6 IPS |
|
Depth Estimation (Q)
|
89% |
9539
74.2 IPS |
|
Style Transfer (SP)
|
100% |
31317
40.3 IPS |
|
Style Transfer (HP)
|
100% |
30930
39.8 IPS |
|
Style Transfer (Q)
|
98% |
27993
36.1 IPS |
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
5996
221.4 IPS |
|
Image Super-Resolution (Q)
|
99% |
3795
140.5 IPS |
|
Text Classification (SP)
|
100% |
3127
4.17 KIPS |
|
Text Classification (HP)
|
100% |
3115
4.16 KIPS |
|
Text Classification (Q)
|
92% |
2875
3.86 KIPS |
|
Machine Translation (SP)
|
100% |
3683
63.4 IPS |
|
Machine Translation (HP)
|
100% |
3648
62.8 IPS |
|
Machine Translation (Q)
|
100% |
3554
61.2 IPS |